Dev tools · alternatives · 2026
24 alternatives to MIT DeepTraffic 75.01 MPS Solution
MIT DeepTraffic top 2% solution (75.01 mph) 🚗. Contribute to gsurma/deep_traffic development by creating an account on GitHub.
MIT DeepTraffic 75.01 MPS Solution is a traffic simulation project that uses deep learning to optimize vehicle speed and behavior. Created by MIT, it challenges users to train neural networks to achieve the highest… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MIT DeepTraffic 75.01 MPS Solution launched in 2019; newer entries below may have overtaken it.
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AWS DeepRacer▲119A 1/18th scale race car to learn machine learning 🚗
2018 · aws.amazon.com · its alternatives →
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Pick hardware and a model, and feel the real speed of a local LLM before you buy. Simulates tokens/sec and time-to-first-token from verified benchmarks for GPUs, Macs, and more.
5d ago · llmspeed.dev · its alternatives →
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Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…
2024 · asciinema.org · its alternatives →
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DeepSeek-V4▲387The open-source era of 1M context intelligence
Apr 2026 · huggingface.co · its alternatives →
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A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem - mehrdadn/SOTA-Py
2017 · github.com · its alternatives →
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LLM Stats▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
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I was developing/selling this application under Roadometry, but sales are getting slow and I'd prefer to make it available for free. This is a desktop Windows application which can be used for counting road traffic. https://roadometry.com https://www.youtube.com/@roadometry2011 The application uses Multiple Hypothesis Tracking (MHT) combined with Darknet Yolo. I trained the network myself. I have a tool-chain for building a video-based training set including associations, but it's quite complex to use. I never ended up training a network to perform association,…
2024 · github.com · its alternatives →
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High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
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Long-context efficiency with DeepSeek Sparse Attention
2025 · huggingface.co · its alternatives →
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Experimental C implementation of “Breaking the Sorting Barrier for Directed Single-Source Shortest Paths” by Ran Duan, Jiayi Mao, Xiao Mao, Xinkai Shu, and Longhui Yin (STOC 2025) - danalec/DMMSY-SSSP
Feb 2026 · github.com · its alternatives →
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
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I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
2022 · courses.dibya.online · its alternatives →
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Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup
Aug 2026 · github.com · its alternatives →
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student, nomad in machine learning
2019 · littlemountainman.github.io · its alternatives →
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:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
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Open source AI gateway turning traffic into a better model
Sep 2026 · experientiallabs.ai · its alternatives →
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Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
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An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
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AI tool to generate and optimize website traffic fast
Apr 2026 · samtraffic.liveblog365.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →