warp-drive
jittor
| warp-drive | jittor | |
|---|---|---|
| 1 | 4 | |
| 435 | 3,010 | |
| 1.1% | - | |
| 8.1 | 7.6 | |
| 26 days ago | 7 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
warp-drive
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[N] Salesforce Open-Sources ‘WarpDrive’, A Light Weight Reinforcement Learning (RL) Framework That Implements End-To-End Multi-Agent RL On A Single GPU
4 Min Read | Codes | Paper | SalesForce Blog
jittor
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VSL; Vlang's Scientific Library
Would it make sense to have a backend support for OpenXLA, Apache TVM, Jittor or other similar to get free GPU, TPU and other accelerators for free ?
- Jittor: High-performance deep learning framework based on JIT and meta-operators
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Tinygrad: A simple and powerful neural network framework
Very similar idea as Jittor, convolution definitely can be break down: https://github.com/Jittor/jittor/blob/master/python/jittor/n...
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How do I deal with ML models taking soooo long to train, when I have to optimize results?
-I've found JIT quite useful: https://github.com/Jittor/jittor
What are some alternatives?
Simple-MADRL-Chess - MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.
Res2Net-PretrainedModels - (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
simba-ps - Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
torchrec - Pytorch domain library for recommendation systems
vsl - V library to develop Artificial Intelligence and High-Performance Scientific Computations
chainer - A flexible framework of neural networks for deep learning
StylizedNeRF - [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
cog - Containers for machine learning
nnabla - Neural Network Libraries