repo_name
stringlengths 2
29
| repo_link
stringlengths 27
60
| category
stringlengths 3
39
⌀ | github_about_section
stringlengths 10
415
⌀ | homepage_link
stringlengths 14
93
⌀ | github_topic_closest_fit
stringlengths 3
28
⌀ | contributors_all
int64 1
6.68k
⌀ | contributors_2025
int64 0
2.38k
⌀ | contributors_2024
int64 0
2.13k
⌀ | contributors_2023
int64 0
1.92k
⌀ |
|---|---|---|---|---|---|---|---|---|---|
Self-Forcing
|
https://github.com/guandeh17/Self-Forcing
|
video generation
|
Official codebase for "Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion" (NeurIPS 2025 Spotlight)
|
https://self-forcing.github.io
|
diffusion-models
| 4
| 4
| 0
| 0
|
TritonBench
|
https://github.com/thunlp/TritonBench
|
benchmark
|
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
|
https://arxiv.org/abs/2502.14752
|
benchmark
| 3
| 3
| 0
| 0
|
hatchet
|
https://github.com/LLNL/hatchet
|
performance testing
|
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
|
https://llnl-hatchet.readthedocs.io
|
profiling
| 25
| 3
| 6
| 8
|
streamv2v
|
https://github.com/Jeff-LiangF/streamv2v
|
video generation
|
Official Pytorch implementation of StreamV2V.
|
https://jeff-liangf.github.io/projects/streamv2v
|
diffusion-models
| 7
| 3
| 6
| 0
|
mistral-inference
|
https://github.com/mistralai/mistral-inference
|
inference engine
|
Official inference library for Mistral models
|
https://mistral.ai
|
inference
| 29
| 2
| 17
| 14
|
omnitrace
|
https://github.com/ROCm/omnitrace
|
performance testing
|
Omnitrace: Application Profiling, Tracing, and Analysis
|
https://rocm.docs.amd.com/projects/omnitrace
|
profiling
| 16
| 2
| 12
| 2
|
cuJSON
|
https://github.com/AutomataLab/cuJSON
|
library leveraging parallel compute
|
cuJSON: A Highly Parallel JSON Parser for GPUs
|
https://dl.acm.org/doi/10.1145/3760250.3762222
|
json-parser
| 2
| 2
| 2
| 0
|
IMO2025
|
https://github.com/harmonic-ai/IMO2025
|
formal mathematical reasoning
|
Harmonic's model Aristotle achieved gold medal performance, solving 5 problems. This repository contains the lean statement files and proofs for Problems 1-5.
|
https://harmonic.fun
|
lean
| 2
| 2
| 0
| 0
|
RaBitQ
|
https://github.com/gaoj0017/RaBitQ
| null |
[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
|
https://github.com/VectorDB-NTU/RaBitQ-Library
|
nearest-neighbor-search
| 2
| 2
| 1
| 0
|
torchdendrite
|
https://github.com/sandialabs/torchdendrite
|
machine learning framework
|
Dendrites for PyTorch and SNNTorch neural networks
| null | null | 2
| 1
| 1
| 0
|
triton-runner
|
https://github.com/toyaix/triton-runner
| null |
Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.
|
https://triton-runner.org
| null | 1
| 1
| 0
| 0
|
nvcc4jupyter
|
https://github.com/andreinechaev/nvcc4jupyter
| null |
A plugin for Jupyter Notebook to run CUDA C/C++ code
|
https://nvcc4jupyter.readthedocs.io
| null | 9
| 0
| 3
| 3
|
CU2CL
|
https://github.com/vtsynergy/CU2CL
| null |
A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework
|
http://chrec.cs.vt.edu/cu2cl
|
parallel-programming
| 3
| 0
| 0
| 0
|
triSYCL
|
https://github.com/triSYCL/triSYCL
| null |
Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group
|
https://trisycl.github.io/triSYCL/Doxygen/triSYCL/html/index.html
|
parallel-programming
| 31
| 0
| 1
| 3
|
cupti
|
https://github.com/cwpearson/cupti
|
performance testing
|
Profile how CUDA applications create and modify data in memory.
| null |
profiling
| 1
| 0
| 0
| 0
|
ort
|
https://github.com/pytorch/ort
| null |
Accelerate PyTorch models with ONNX Runtime
| null | null | 47
| 0
| 7
| 9
|
StreamDiffusion
|
https://github.com/cumulo-autumn/StreamDiffusion
|
image generation
|
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
|
https://arxiv.org/abs/2312.12491
|
diffusion-models
| 29
| 0
| 9
| 25
|
torchdynamo
|
https://github.com/pytorch/torchdynamo
| null |
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
| null | null | 63
| 0
| 1
| 4
|
wandb
|
https://github.com/wandb/wandb
| null |
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
|
https://wandb.ai
| null | null | null | null | null |
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