Sequential regulatory activity predictions with deep convolutional neural networks.
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Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
TranslatedA completion of the landscape-format full character reference sheet based on the ZipZipPipe (胖次狐, "Panties Fox") AI girl character art: it is broken down into separate assets for three-view turnarounds / expressions / outfits / props, the side and back views are inferred and completed, and everything is stitched together at native pixels 1:1. CC BY-NC-SA 4.0, non-commercial.
- ai-art
- anime
- bilibili
- cc-by-nc-sa
Deep Learning Resources and Tutorials using Keras and Lasagne
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Crop Yield Prediction with Deep Learning
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
DeepSeek-V4.1-Flash-1017 EXL3 on 2x DGX Sparks with TensorFold
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
- ai-text-detection
- explainable-ai
- interpretability
- mechanistic-interpretability
🧱 Experimental library for building inference engines
Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory
- agent-harness
- agentic-ai
- ai-agents
- coding-agent
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
- bayesian-inference
- deep-learning
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
TranslatedA Bilibili command-line tool designed for AI Agents: QR code login, watching videos, commenting, direct messages, posting updates, uploading videos, all with JSON output
- agent-skills
- ai-agent
- automation
- bilibili
Image restoration for fluorescence microscopy
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
- deep-learning
- llm-agents
- optimizer
- pytorch
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
- tensorflow
- lstm
- rnn
- stacked-layers
Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
Open-source DeepWiki alternative — generate comprehensive wiki documentation for any codebase from terminal or browser
- cli
- deepwiki
- documentation
- llm
Maze Applied Reinforcement Learning Framework
Translated🏠 Turn the Xiaoai speaker into a true AI smart butler: Xiaoai speaker + Xiaozhi + Hermes Agent + Home Assistant, with one Xiao Qi managing all whole-home devices such as Mijia and Haier. Control and query appliances by voice, scheduled tasks run on time, teach scenes and automations with a single sentence, proactive announcements and water leak alarms, all without opening an app or writing automations.
- ai-agent
- deepseek
- hermes-agent
- home-assistant
Translated12306 captcha recognition based on deep learning
- 12306
- captcha
- recognizer
- deep-learning