Kolesh jr's Projects
Helpful Machine Learning resources for the Zindi community
Config files for my GitHub profile.
This is a template retrieval repo to create a Flask api server using LangChain with Cohere embeddings and Qdrant Vector Database
Created a langchain dj gpt agent thanks to lablabai workshops
Langchain to power LLM applications
Building an application using langchain, openai and Redis
SuperLender is a local digital lending company, which prides itself in its effective use of credit risk models to deliver profitable and high-impact loan alternative. Its assessment approach is based on two main risk drivers of loan default prediction:. 1) willingness to pay and 2) ability to pay. Since not all customers pay back, the company invests in experienced data scientist to build robust models to effectively predict the odds of repayment. These two fundamental drivers need to be determined at the point of each application to allow the credit grantor to make a calculated decision based on repayment odds, which in turn determines if an applicant should get a loan, and if so - what the size, price and tenure of the offer will be. There are two types of risk models in general: New business risk, which would be used to assess the risk of application(s) associated with the first loan that he/she applies. The second is a repeat or behaviour risk model, in which case the customer has been a client and applies for a repeat loan. In the latter case - we will have additional performance on how he/she repaid their prior loans, which we can incorporate into our risk model. It is your job to predict if a loan was good or bad, i.e. accurately predict binary outcome variable, where Good is 1 and Bad is 0.
6th placed solution
17th placed solution
GASGA
Kiswahili Automatic Speech Recognition (ASR) Model Training
Netflix Appetency
A portfolio of all my NLP projects
Zindi competition
Retrieval Pipeline using everything open source. No API's required
Open AI for llm powered applications
## a deep learning based passion fruit diease detection model
## 1st placed solution improved
## Unofficial seventh placed solution
Predicting the career title from a resume
Revisiting my deep learning fundamentals
Documenting my rust learning Journey: by 2024 I should be a junior rust developer
Huge thanks to Abhishek Thakur for this Tutorial on Using SAM and Stable diffusion models
This project we were supposed to create a model to classify nine different sign languages.
In this competition, you are supposed to predict the popularity of a song given features like acousticness, danceability, key, loudness, etc.
Swahili Audio Classification Can you classify Swahili audio into words?
A project in the climate sector
INSURANCE CLAIM INTERMEDIATE COMPETITION
An instruct led rag approach
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent