Repository Index

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

• video
• codec
• audio
• learning

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

• speech-recognition
• asr
• voice-recognition
• speech-to-text

llama3 implementation one matrix multiplication at a time

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

• computer-vision
• deep-learning
• drug-discovery
• forecasting

TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/

• deep-reinforcement-learning
• reinforcement-learning
• dqn
• ppo

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

• scaled-yolov4
• yolor
• yolov3
• yolov4

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")

• prompt-engineering
• chatgpt
• deeplearning
• framework

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

• interview-questions
• dsa
• dbms
• sql

Foundational Models for State-of-the-Art Speech and Text Translation

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.

• google-interview
• interview
• leetcode
• amazon-interview

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

• pytorch
• speech-processing
• speaker-diarization
• speech-activity-detection

TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。

• dain
• huoshan-tts
• microsoft-tts
• rife-gui

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

• deep-learning
• text-to-speech
• python
• pytorch

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Lectures on scientific computing with python, as IPython notebooks.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection