1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- text-to-speech
- tts
- vits
- voice-clone
Repository Index
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Easily train a good VC model with voice data <= 10 mins!
- change
- sovits
- vits
- voice
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
- esrgan
- pytorch
- real-esrgan
- super-resolution
NVR with realtime local object detection for IP cameras
- rtsp
- realtime
- tensorflow
- google-coral
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
- quiz-questions
- answers
- assessment
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
- machine-learning
- ai
- ml
- mlflow
TranslatedNetflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team
- ai-translation
- dubbing
- localization
- video-translation
Ongoing research training transformer models at scale
- large-language-models
- model-para
- transformers
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
- image-annotation
- python
- computer-vision
- annotations
Open source code for AlphaFold 2.
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Go ahead and axolotl questions
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Source code for Twitter's Recommendation Algorithm
TensorFlow-based neural network library
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
- ai
- deep-reinforcement-learning
- wpa-psk
- handshakes
AlphaFold 3 inference pipeline.