bmanobel's repositories
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
LargeLanguageModelsProjects
Large Language Model Projects
Langchain
This repository will show how Langchain🦜🔗 library can be used and integrated
few-shot-leaf-segmentation
Supporting information for "Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"
Indian-LawyerGPT
Fine-Tuning Falcon-7B with QLoRA is a pioneering initiative that leverages cutting-edge NLP techniques to create an advanced AI model with a profound understanding of the Indian legal context.
llm-tutorials
A set of LLM Tutorials from my youtube channel
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
NLP_scripts
Contains notebooks related to various transformers based models for different nlp based tasks
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
dfdc_deepfake_challenge
A prize winning solution for DFDC challenge
video_classification
Train and test video classifier models with PyTorchVideo
euroscipy-2022-time-series
Tutorial on time-series forcasting with scikit-learn
jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
TensorFlow-Advanced-Techniques-Specialization
Tensorflow Advanced Technique Specialization
NLP_Applications
The repository contains notebooks written in Python about NLP applications. The first folder created in this repository maintains the implementation of multi-label text classification on movies dataset. In the long term this repository will include hands-on applications and notebooks for various field of the NLP discipline.
LeafVeinAnalysis
Network analysis of leaf veins following CNN enhancement
fastbook
Draft of the fastai book
ml-road
Machine Learning Resources, Practice and Research
learnopencv
Learn OpenCV : C++ and Python Examples
Case-study-iowa-house-dataset
regression techniques applied to iowa hose dataset
clean-code-python-es
Guía en español: Clean Code Python
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deeplearning-models
A collection of various deep learning architectures, models, and tips
character-based-cnn
Implementation of character based convolutional neural network
Deeplearning.ai
Materials from deeplearning.ai course on Coursera
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.