Flops counter for neural networks in pytorch framework
- pytorch
- pytorch-cnn
- deep-neural-networks
- deeplearning
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🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
- yolov5
- backbone
- pytorch
- transformer
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
- chatgpt
- visual-language-learning
- multi-modality
- foundation
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Optical character recognition for Japanese text, with the main focus being Japanese manga
- ocr
- japanese
- manga
- transformers
A Unified Library for Parameter-Efficient and Modular Transfer Learning
- nlp
- natural-language-processing
- adapters
- transformers
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Evidence-first genealogy skill for AI agents (Codex, Claude Code): church books, civil, military, deportation and repression records across the former USSR. Replies in your language.
- agent-skills
- archives
- claude-code
- codex
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
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
- pointcloud
- convolutional-neural-networks
- deep-neural-networks
- machine-learning
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
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allRank is a framework for training learning-to-rank neural models based on PyTorch.
- learning-to-rank
- ndcg
- ranking
- information-retrieval
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.
The repository host gives no description.
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers/LLM, with compute-matched benchmarking and a platform for autonomous architecture research.
- auto-research
- benchmark
- deep-learning
- language-models
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
- ai
- cell
- digitalpathology
- microscopy
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data