Top #deep-learning Tools & Software

spaCy

github

💫 Industrial-strength Natural Language Processing (NLP) in Python

diffusers

github

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

pytorch-tutorial

github

PyTorch Tutorial for Deep Learning Researchers

ML-From-Scratch

github

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

pytorch-lightning

github

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

stanford_alpaca

github

Code and documentation to train Stanford's Alpaca models, and generate the data.

EasyOCR

github

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

data-science-ipython-notebooks

github

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

d2l-en

github

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

spleeter

github

Deezer source separation library including pretrained models.

so-vits-svc

github

SoftVC VITS Singing Voice Conversion

serve

github

☁️ Build multimodal AI applications with cloud-native stack

clearml

github

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution