A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
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An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
- ai-pipelines
- approximate-statistics
- statistical-properties
- data-quality
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Kandinsky 2 — multilingual text2image latent diffusion model
- image-generation
- text-to-image
- diffusion
- image2image
MARS5 speech model (TTS) from CAMB.AI
- prosody
- speech
- speech-synthesis
- text-to-speech
🎁 7,400,000+ Unsplash images made available for research and machine learning
- dataset
- images
- unsplash
- machine-learning
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
- nerf
- neural-radiance-fields
- view-synthesis
- pytorch
Easily compute clip embeddings and build a clip retrieval system with them
- semantic-search
- deep-learning
- multimodal
- ai
List of papers, code and experiments using deep learning for time series forecasting
- time-series-forecasting
- lstm-neural-networks
- lstm
- deep-learning
The repository host gives no description.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
- dreambooth
- guides
- stable-diffusion
- tts
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Self hosted alternative to Google Photos
Model API for GALACTICA
A simple notebook demonstrating prompt-based music generation via Mubert API
Machine Learning in Finance: From Theory to Practice Book
Singing Voice Conversion via diffusion model
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
- gat
- graph-attention-networks
- attention-mechanism
- self-attention
The /llms.txt file, helping language models use your website