Eleven free Claude skills that test a business before you launch it: a board trained on Hormozi, Thiel and Jobs, a marketing director, a CFO, and a consumer panel of 100 buyer agents. Free, MIT.
- business-plan
- claude-code
- claude-skills
- startup
Repository Index
47,133 repositories indexed
73–96 of 132 · Most stars
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
A robust Python tool for text-based AI training and generation using GPT-2.
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
- interview-practice
- interview-test-task
- language-learning
- coding-interview
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
- diffusion-models
- high-resolution
- sparse-attention
- video-generation
OpenMMLab Foundational Library for Training Deep Learning Models
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
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
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
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
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.