Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
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Fast, flexible and fun neural networks.
Train a deep learning net with OpenStreetMap features and satellite imagery.
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Library for Fast and Flexible Human Pose Estimation
- tensorlayer
- tensorflow
- openpose
- pose-estimation
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
A Theano framework for building and training neural networks
allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
Pretrained model hub for Keras 3.
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
Rainbow CSV - Vim plugin: Highlight columns in CSV and TSV files and run queries in SQL-like language
- csv
- tsv
- vim-plugins
- sql-like
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
A Python package to visualise neuroanatomical data in atlas space
- neuroscience
- python
- anatomy
- visualization
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
- comfyui
- comfyui-custom-node
- comfyui-extension
- comfyui-manager
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
- bert
- bert-model
- natural-language-processing
- pubmed
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
U-Net Brain Tumor Segmentation
- tensorflow
- tensorlayer
- unet
- medical-imaging