Pinned Repositories
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Autonomous_Driving_Visual_Instruction_DataEngine
Large Scale Quality -- Quantity -- Disversity Visual Instruction Dataset for Autonomous Driving
FoxBrain_LLMs
項目內容包括：1. 創建多樣化、高質量的中文教學數據集。2. 在開源語言模型（如bloomz、LLaMA2、Yi, Qwen等）上進行LLM訓練、微調、評估和測試。Building a diverse and high-quality Chinese instruction dataset. 2. LLM training, finetuning, evaluating, and testing on open-source language models
Heuristic_Attention_Represenation_Learning_SSL_Pytorch
Heuristic Attention Representation Learning for Self-Supervised Pre-training
MA_SSRL_Pytorch
MASSRL (Mulit-Augmentation Strategies on Searched and Random Augmentation Policies) Self-supervised visual representation learning.
MA_SSRL_Tensorflow
MV_MA_SSRL
Multi-View, Multi-Augmentation Self-Supervised Representation Learning
Neural_Network_Architecture_Search
Self_supervised_Learning_Demo
This repository evaluate the obtained representation learning from Self-Supervised Learning.
SSL_Applications
Multiple ML Applications for Education, Arts, Engineering, Health Care ...
TranNhiem's Repositories
TranNhiem/FoxBrain_LLMs
項目內容包括：1. 創建多樣化、高質量的中文教學數據集。2. 在開源語言模型（如bloomz、LLaMA2、Yi, Qwen等）上進行LLM訓練、微調、評估和測試。Building a diverse and high-quality Chinese instruction dataset. 2. LLM training, finetuning, evaluating, and testing on open-source language models
TranNhiem/Self_supervised_Learning_Demo
This repository evaluate the obtained representation learning from Self-Supervised Learning.
TranNhiem/Heuristic_Attention_Represenation_Learning_SSL_Pytorch
Heuristic Attention Representation Learning for Self-Supervised Pre-training
TranNhiem/MV_MA_SSRL
Multi-View, Multi-Augmentation Self-Supervised Representation Learning
TranNhiem/MA_SSRL_Pytorch
MASSRL (Mulit-Augmentation Strategies on Searched and Random Augmentation Policies) Self-supervised visual representation learning.
TranNhiem/SSL_Applications
Multiple ML Applications for Education, Arts, Engineering, Health Care ...
TranNhiem/Autonomous_Driving_Visual_Instruction_DataEngine
Large Scale Quality -- Quantity -- Disversity Visual Instruction Dataset for Autonomous Driving
TranNhiem/MA_SSRL_Tensorflow
TranNhiem/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
TranNhiem/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
TranNhiem/Boostraping_Multi_modalities_SSL
This repository collectes multiple state-of-the-art vision transformer model for accelerating vision extractor in multi-modalities model training.
TranNhiem/Building_torch_lightning_model
This repo will contain new adding feature and testing development project
TranNhiem/CodeFormer
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
TranNhiem/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
TranNhiem/Distributed_Training_Single_and_Multi_machines
TranNhiem/Galatica
TranNhiem/gpt4all
GPT4All: Chat with Local LLMs on Any Device
TranNhiem/GRiT
GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)
TranNhiem/Hackathon_NLP_MVQG
This repository use for MVQA
TranNhiem/HAPiCLR
Heuristic Attention Pixel-level for Self-supervised Contrastive Representation Learning
TranNhiem/Heuristic_Attention_Representation_Learning_SSL_Tensorflow
Heuristic Attention Representation Learning for Self-Supervised Pre-training
TranNhiem/LLM_Scientific_paper
Model API for GALACTICA
TranNhiem/min_dalle
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
TranNhiem/MindSearch
🔍 a LLM-based Multi-agent Framework of Web Search Engine similar to Perplexity.ai Pro and SearchGPT
TranNhiem/Multimodal_Integrated_App
This repository contains a web-based application that integrates speech, language, and visual understanding to provide a more intuitive and interactive user experience. The app uses state-of-the-art machine learning models and modern web technologies to analyze and understand speech, text, and images.
TranNhiem/mup
maximal update parametrization (µP)
TranNhiem/Otter
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
TranNhiem/stablediffusion_Outpainting_JupyterNotebook
Outpainting with Stable Diffusion on an infinite canvas
TranNhiem/Training_Neural_Nets_Fast-Efficient
This repository collects multiple efficient strategies for training neural net faster
TranNhiem/Tuning_Large_Neural_Nets-Hyperparameters
This repository aims for efficient tuning large Machine learning models and hyper-parameters for training