karpathy/neuraltalk2

• tensorpack/tensorpack

  tensorpack/tensorpack

  6,287GitHub पर देखें↗

  Tensorpack is a high-level TensorFlow neural network framework and research library designed for building and training deep learning models. It provides a collection of reproducible neural network architectures for computer vision, generative tasks, reinforcement learning, and natural language processing. The project distinguishes itself through a specialized deep learning data pipeline that uses pure Python for parallel data loading and streaming. It includes a multi-GPU training orchestrator for distributing workloads via data-parallel strategies and a dedicated interpretability toolkit for

  Python

  GitHub पर देखें↗6,287
• karpathy/neuraltalk

  karpathy/neuraltalk

  5,480GitHub पर देखें↗

  Neuraltalk is an automated image captioning system that generates natural language descriptions for images. It utilizes a deep learning model that integrates a pretrained convolutional neural network for visual feature extraction with a recurrent neural network decoder to produce text sequences. The project provides a full workflow for training and evaluating captioning models, including weight optimization via backpropagation and gradient descent. It includes tools for measuring caption accuracy by comparing generated text against reference descriptions. The system covers data preprocessing

  Python

  GitHub पर देखें↗5,480
• jwyang/faster-rcnn.pytorch

  jwyang/faster-rcnn.pytorch

  7,859GitHub पर देखें↗

  This project is a PyTorch object detection framework that implements the Faster R-CNN architecture. It serves as a vision model for predicting precise bounding boxes around multiple objects within images and live video feeds. The system is optimized for multi-GPU training to reduce the time required for model convergence. It utilizes a GPU-accelerated design to handle the training and inference of complex detection networks. The framework covers the full object detection lifecycle, including custom network training and inference for static images and real-time video streams. It includes capa

  Python

  GitHub पर देखें↗7,859
• karpathy/char-rnn

  karpathy/char-rnn

  12,066GitHub पर देखें↗

  This project is a character-level language modeling system that uses recurrent neural networks to predict and generate text one character at a time. It implements LSTM and GRU architectures to learn sequential patterns and probability distributions from text corpora. The system includes mechanisms for text generation sampling, allowing users to produce new sequences from trained models. It features temperature-based stochasticity to control the randomness and diversity of the generated output. The implementation covers the full model lifecycle, including training, state persistence through c

  Lua

  GitHub पर देखें↗12,066

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