cemlyn007's Stars
grpc/grpc-go
The Go language implementation of gRPC. HTTP/2 based RPC
ml-explore/mlx
MLX: An array framework for Apple silicon
gfx-rs/wgpu
A cross-platform, safe, pure-Rust graphics API.
grafana/pyroscope
Continuous Profiling Platform. Debug performance issues down to a single line of code
cython/cython
The most widely used Python to C compiler
cloudflare/quiche
🥧 Savoury implementation of the QUIC transport protocol and HTTP/3
tracel-ai/burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
cupy/cupy
NumPy & SciPy for GPU
google-deepmind/lab
A customisable 3D platform for agent-based AI research
google/snappy
A fast compressor/decompressor
ml-explore/mlx-examples
Examples in the MLX framework
TTimo/doom3.gpl
Doom 3 GPL source release
cirruslabs/tart
macOS and Linux VMs on Apple Silicon to use in CI and other automations
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
SheffieldML/GPy
Gaussian processes framework in python
inducer/pycuda
CUDA integration for Python, plus shiny features
Farama-Foundation/ViZDoom
Reinforcement Learning environments based on the 1993 game Doom :godmode:
digitalocean/godo
DigitalOcean Go API client
google-deepmind/rlax
JaxGaussianProcesses/GPJax
Gaussian processes in JAX.
wilson-labs/cola
Compositional Linear Algebra
salesforce/jaxformer
Minimal library to train LLMs on TPU in JAX with pjit().
tianjuxue/jax-am
Additive manufacturing simulation with JAX.
EdanToledo/Stoix
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
google/trajax
facebookresearch/minimax
Efficient baselines for autocurricula in JAX.
sidroopdaska/SelfDrivingRCCar
Autonomous RC Car using Neural Networks, Python and Open CV
pybop-team/PyBOP
A parameterisation and optimisation package for battery models.
instadeepai/compass
:compass: COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
GW3TMH/kens-test
Creating a first Tkinter snap