reichenbch's repositories
RAG-examples
Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.
Neural-Machine-Translation
Implementing neural machine translation from scratch using Python,Keras.
Answer-Selection
Code for IWCS 2017 paper "Representation Learning for Answer Selection with LSTM-Based Importance Weighting"
Model-Pruning
Code for Model Pruning on MNIST Dataset
MSMARCO-Conversational-Search
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
nlp-for-hindi
State of the Art Language models and Classifier for Hindi language (spoken in Indian sub-continent)
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PaperAWeek
This repository houses work related to ambitious idea of mine to read a paper and implement them from scratch.
python-dialogflow
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Text-Classification-Module
Multiple Deep Learning Algorithms used for performing the task of Text Classification in NLP domain
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Video-Understanding
Assignment Task related to Video Understanding and Enrichment
Word-Level-Language-Model
Word Level Language Model in PyTorch with Dynamic Quantization for model protability.