#pytorch (30 Repositories)
Ranked open-source repositories tagged with #pytorch, scored by pull request acceptance likelihood and maintainer engagement velocity.
84.8%
49.5h
30 repositories tagged #pytorch
jameschapman19/cca_zoo
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
opengeos/geoai
GeoAI: Artificial Intelligence for Geospatial Data
modelscope/FunASR
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
traceopt-ai/traceml
Open-source observability for PyTorch training runs.
TylerYep/torchinfo
View model summaries in PyTorch!
ultralytics/xview-yolov3
YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView detection challenge.
vladmandic/sdnext
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing
tracel-ai/burn
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
rentruewang/aioway
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
inclusionAI/Awex
A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows
ayutaz/piper-plus
Multilingual neural TTS (6 languages: JA/EN/ZH/ES/FR/PT, code supports SV) — C++, C#, Rust, Go, Python, npm (WASM). VITS + Prosody, streaming, CUDA/CoreML/DirectML. pip install piper-plus | npm install piper-plus | cargo install piper-plus-cli
remsky/Kokoro-FastAPI
Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, voice-mixing, auto-stitching, caption timestamps, SSML, readalong web UI
NVlabs/Sana
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
helmholtz-analytics/heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
flwrlabs/flower
Flower: A Friendly Federated AI Framework
flagos-ai/FlagGems
FlagGems is an operator library for large language models implemented in the Triton Language.
open-edge-platform/geti
Build computer vision models in a fraction of the time and with less data.
deepdoctection/deepdoctection
A Repo For Document AI
lakesoul-io/LakeSoul
LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.
vllm-project/semantic-router
A programmable Mixture-of-Models router for heterogeneous LLM inference
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
aws/sagemaker-distribution
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
pyg-team/pyg-lib
Low-Level Graph Neural Network Operators for PyG
SakuraMathcraft/LaTeXSnipper
Formula Recognition & Office Editing Math Workspace | Handwriting & PDF to LaTeX/Markdown, And Secure API Integrations.
vllm-project/vllm-omni
A framework for efficient model inference with omni-modality models
onnxsim/onnxsim
Simplify your onnx model
walkinglabs/hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
NVIDIA/TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.